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https://github.com/microsoft/SkillOpt.git
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553446575a
Adds a thin OpenClaw shell wrapping the SkillOpt-Sleep engine. Enables nightly validation-gated skill improvement cycles for OpenClaw agents. Components: - skillopt_sleep_openclaw.py: DeepSeek V4 Pro + Ollama nomic-embed-text backend, mirroring the Claude/Codex/Copilot backend pattern. - run_sleep.py: CLI entry point supporting dry-run and pre-built task files. - run_sleep_cron.sh: bash wrapper for nightly cron invocation. - slash_sleep.py: /sleep command (status / run / adopt / reject / cost). - config.json: engine config tuned for our stack. - SKILL.md: OpenClaw skill manifest. - tests/: 14 held-out tasks across 3 categories (research-cron, devops, wiki). OpenClaw is the 4th ecosystem in which SkillOpt-Sleep can be deployed, joining Claude Code, Codex, and Copilot. The shell follows the same single-engine / thin-shell pattern as the existing three plugins. End-to-end tested: pipeline runs against real OpenClaw session transcripts, gate correctly rejects non-improvements, staging artifacts land in ~/.skillopt-sleep/staging/<night>/. Cost: ~$0.02/night on DeepSeek V4 Pro.
31 lines
763 B
JSON
31 lines
763 B
JSON
{
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"_comment": "OpenClaw adaptation of skillopt-sleep. Edit and run via run_sleep.py",
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"claude_home": "/home/ethanclaw/.openclaw/agents",
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"invoked_project": "/home/ethanclaw/.openclaw/workspace",
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"projects": "invoked",
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"lookback_hours": 168,
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"max_tasks_per_night": 12,
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"max_tokens_per_night": 800000,
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"holdout_fraction": 0.34,
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"val_fraction": 0.34,
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"test_fraction": 0.0,
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"backend": "openclaw-deepseek",
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"model": "deepseek-v4-pro",
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"gate_mode": "on",
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"edit_budget": 3,
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"gate_metric": "mixed",
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"gate_mixed_weight": 0.5,
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"replay_mode": "fresh",
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"evolve_memory": true,
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"evolve_skill": true,
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"llm_mine": false,
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"auto_adopt": false,
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"managed_skill_name": "skillopt-sleep-learned",
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"redact_secrets": true,
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"seed": 42
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}
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